Job Title: A.I. Engineer Location: Hybrid Work Model Reporting to Vienna, VA Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Responsibility: + Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. + Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. + Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. + Research and evaluate emerging technologies. + Develop data science solutions based on tools and cloud computing infrastructure. + Perform other duties as assigned. Qualifications: + Advanced degree in in computer science, mathematics, physics, statistics, or related field. + Strong experience with applying expertise in model design, training, validation, and monitoring. + Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. + Experience with cloud computing infrastructure. + Experience with Computer Vision, image processing and video analytics. + Experience with Natural Language Processing/ Natural Language Understanding. + Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. + Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). + Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. + Ability to work individually, and as part of a team. + Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. Desired: + AI Model Optimization on GPU architecture. Leveraging C++, CUDA. + Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments. + Knowledge on principles of A.I. Security and Safety. + Experience with Advance Reinforcement Learning Paradigms. + Experience with Speech Recognition. + Experience with Microsoft Azure services System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M- #LI- #DI- Ref: #850-Rockville (ALTA IT) System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.